摘要
在对遗传算法的适应度函数改进并修改选择方法的基础上,用改进的遗传算法优化BP神经网络权值,提出一种改进遗传神经网络的大坝渗流监测模型。结合实例分析表明:预测模型合理,训练精度与检测性能得到提高。
This essay put forward the dam seepage monitoring model improving genetic algorithm of neural network on the basis of the fitness func- tion of genetic algorithm and the selection method for improvement with using the improved genetic algorithm to optimize the weights of BP neural network. Combining the living example analysis we will state clearly that the reasonable prediction model, the training accuracy and detection per- formance can be improved.
出处
《山西建筑》
2014年第8期243-244,共2页
Shanxi Architecture
关键词
改进遗传算法
BP神经网络
大坝渗流监测
improved genetic algorithm, BP neural network, dam seepage monitoring model
